Multi-stage Chronic Kidney Disease Classification on Longitudinal Data

Conference Paper/Proceeding/Abstract 177 views 45 downloads

Ali Guran, Gary Tam

, James Chess, Xianghua Xie

Lecture Notes in Computer Science, Volume: 14975, Pages: 120 - 133

Swansea University Authors: Ali Guran, Gary Tam , Xianghua Xie

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DOI (Published version): 10.1007/978-3-031-67278-1_10

Published in:	Lecture Notes in Computer Science
ISBN:	9783031672774 9783031672781
ISSN:	0302-9743 1611-3349
Published:	Cham Springer Nature Switzerland 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa66605
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Keywords:	Chronic Kidney Disease; Machine Learning
College:	Faculty of Science and Engineering
Funders:	Ali Guran was financially supported by the Turkish Ministry of National Education, Republic of Turkiye for the Postgraduate Study Abroad Program. Gary Tam was supported by the International Mobility Award [62] and Collaboration and Knowledge Exchange Support [92S], which were funded by CHERISH-DE Centre EP/M022722/1. This project is partially supported by a fee waiver fund by SAIL. This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research. The responsibility for the interpretation of the information we supplied is the authors’ alone. All research conducted has been completed under the permission and approval of the SAIL independent Information Governance Review Panel (IGRP) project number 1220. For the purpose of Open Access the author has applied a CC BY copyright licence to any Author Accepted Manuscript version arising from this submission.
Start Page:	120
End Page:	133